Rashmi Kumari, Suresh D Sharma, Amrita Kumar, Zachary Ende, Margarita Mishina, Yuanyuan Wang, Zackary Falls, Ram Samudrala, Jan Pohl, Paul R Knight, Suryaprakash Sambhara
{"title":"Antiviral Approaches against Influenza Virus.","authors":"Rashmi Kumari, Suresh D Sharma, Amrita Kumar, Zachary Ende, Margarita Mishina, Yuanyuan Wang, Zackary Falls, Ram Samudrala, Jan Pohl, Paul R Knight, Suryaprakash Sambhara","doi":"10.1128/cmr.00040-22","DOIUrl":null,"url":null,"abstract":"<p><p>Preventing and controlling influenza virus infection remains a global public health challenge, as it causes seasonal epidemics to unexpected pandemics. These infections are responsible for high morbidity, mortality, and substantial economic impact. Vaccines are the prophylaxis mainstay in the fight against influenza. However, vaccination fails to confer complete protection due to inadequate vaccination coverages, vaccine shortages, and mismatches with circulating strains. Antivirals represent an important prophylactic and therapeutic measure to reduce influenza-associated morbidity and mortality, particularly in high-risk populations. Here, we review current FDA-approved influenza antivirals with their mechanisms of action, and different viral- and host-directed influenza antiviral approaches, including immunomodulatory interventions in clinical development. Furthermore, we also illustrate the potential utility of machine learning in developing next-generation antivirals against influenza.</p>","PeriodicalId":10378,"journal":{"name":"Clinical Microbiology Reviews","volume":"36 1","pages":"e0004022"},"PeriodicalIF":19.0000,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035319/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Microbiology Reviews","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1128/cmr.00040-22","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Preventing and controlling influenza virus infection remains a global public health challenge, as it causes seasonal epidemics to unexpected pandemics. These infections are responsible for high morbidity, mortality, and substantial economic impact. Vaccines are the prophylaxis mainstay in the fight against influenza. However, vaccination fails to confer complete protection due to inadequate vaccination coverages, vaccine shortages, and mismatches with circulating strains. Antivirals represent an important prophylactic and therapeutic measure to reduce influenza-associated morbidity and mortality, particularly in high-risk populations. Here, we review current FDA-approved influenza antivirals with their mechanisms of action, and different viral- and host-directed influenza antiviral approaches, including immunomodulatory interventions in clinical development. Furthermore, we also illustrate the potential utility of machine learning in developing next-generation antivirals against influenza.
期刊介绍:
Clinical Microbiology Reviews (CMR) is a journal that primarily focuses on clinical microbiology and immunology.It aims to provide readers with up-to-date information on the latest developments in these fields.CMR also presents the current state of knowledge in clinical microbiology and immunology.Additionally, the journal offers balanced and thought-provoking perspectives on controversial issues in these areas.